ArticleScientific reports2022
Association between body shape index and risk of mortality in the United States.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Development and Validation of a Machine Learning-Based Prediction Model for Cardiovascular Disease in Patients with Metabolic Dysfunction-Associated Fatty Liver Disease.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2026Article
- Association between a body shape index and myocardial infarction: a cross-sectional analysis of NHANES data with mediation modeling.American journal of cardiovascular disease · 2026Article
- Evaluating the potential of waist-to-BMI ratio, a body shape index, and other anthropometric parameters in predicting cardiovascular disease mortality: evidence from NHANES III.BMC public health · 2025Article
- Associations of four obesity indices with diabetes mellitus in Korean middle-aged and older adults using the Korean Genome and Epidemiology Study (KoGES).BMC public health · 2025Article
- Correlation and predictive value of novel anthropometric indicators with adult sarcopenia and sarcopenia obesity.Scientific reports · 2024Article
- The association between food insecurity and obesity, a body shape index and body roundness index among US adults.Scientific reports · 2024Article
- Small for gestational age and anthropometric body composition from early childhood to adulthood: the Aboriginal Birth Cohort study.Frontiers in public health · 2024Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The body mass index (BMI) neither differentiates fat from lean mass nor does it consider adipose tissue distribution. In contrast, the recently introduced z-score of the log-transformed A Body Shape Index (LBSIZ) can be applied to measure obesity using waist circumference (WC), height, and weight. We aimed to investigate the association between LBSIZ and mortality. We used data from the National Health and Nutrition Examination Survey 1999-2014 and linked the primary dataset to death certificate data from the National Death Index with mortality follow-up through December 31, 2015. A multiple Cox regression analysis was performed to evaluate the hazard ratio (HR) of all-cause and cardiovascular disease (CVD) mortalities with adjustment for baseline characteristics. LBSIZ, WC, and BMI showed positive association with total fat percentage (P < 0.001); however, only WC and BMI were positively associated with appendicular skeletal mass index (ASMI) (P < 0.001). In the multiple Cox regression analysis, only LBSIZ showed a significant HR for all-cause and CVD mortalities. Under restricted cubic spline regression, mortality risk increased with LBSIZ. However, BMI and WC showed a U-shape association. In conclusion, LBSIZ is strongly associated with all-cause and CVD mortalities. Since LBSIZ is independent of BMI, LBSIZ complements BMI to identify high-risk groups for mortality even in individuals with low or normal BMI.
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